
Senior Biostatistical Programmer
1 day ago
This position involves the creation of data analysis programs and technical solutions to ensure accurate and efficient outcomes.
- Develop, test, and implement software programs in Unix and Databricks for data analysis and presentation purposes.
- Provide programming support and expertise to team members.
- Collaborate with cross-functional teams to identify and implement process improvements.
- Represent the programming function in meetings and provide input on key project decisions.
- Manage program development timelines and resources to ensure successful project delivery.
Key Responsibilities:
- Develop and maintain detailed programming plans and specifications.
- Review and approve key project documents.
- Write and/or review department-level macros and utilities.
Leadership and Collaboration:
- Participate in audits and quality reviews.
- Respond to audit findings and recommendations.
- Attend industry conferences and events to stay up-to-date on best practices.
- Collaborate with internal stakeholders to drive business results.
Performance Management:
- Oversee staff performance and resource allocation.
We value diversity and strive to serve patients with unique perspectives. As a dedicated professional, you will have the following qualifications.
Basic Qualifications- Master's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant field.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant field.
- Diploma in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant field with 7-9 years of experience.
- Experience with SQL, statistical programming using SAS or R, and Python.
- Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model.
- Real-world evidence generation in pharmaceutical or related research industries, or statistical programming for clinical trials.
- Strong analytical skills with ability to develop complex datasets and troubleshoot issues.
Searchable Keywords: Biostatistics, Programming, Data Analysis, Statistical Software, SAS, R, Python, SQL, OMOP, Real-world Evidence, Pharmaceutical Research, Clinical Trials.
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